Tourist Arrivals in New Zealand decreased to 230292 in August from 236550 in July of 2025. This dataset provides the latest reported value for - New Zealand Tourist Arrivals - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Increased tourist pressures can cause deterioration of nature-based tourist destinations and adversely affect visitor satisfaction. This study aims to identify how public participation using mobile devices on-site, can assist in assessing future design scenarios for a popular nature-based destination, within a short day trip from Christchurch in Aotearoa New Zealand. An online survey using participants’ mobile devices at Kura Tāwhiti Castle Hill Rocks identified domestic tourists’ motivational, satisfaction and dissatisfaction factors that were associated with age and visit frequency at the destination. These factors were linked to site experiences, particularly being out in nature, that could be used to design future scenarios for similar nature-based settings in Aotearoa New Zealand. Four future scenarios using 2D photomontages were used to rank domestic visitor preferences for changing path and tracks, fencing, signage, structures and people. The study found that the low impact scenario with the least people was the most desirable. This high level of sensitivity of New Zealanders to change at outdoor recreational destinations suggests that nature-based settings must be designed and managed with considerable care to minimize the perception of over-crowding and deterioration of the site experience, particular for return visitors.

Techsalerator’s Location Sentiment Data for New Zealand

Techsalerator’s Location Sentiment Data for New Zealand provides a powerful dataset for businesses, researchers, and policymakers. This dataset offers deep insights into public sentiment across different locations in New Zealand, helping organizations make informed decisions based on localized sentiment trends.

For access to the full dataset, contact us at info@techsalerator.com or visit Techsalerator Contact Us.

Techsalerator’s Location Sentiment Data for New Zealand

Techsalerator’s Location Sentiment Data for New Zealand delivers structured insights into how people feel about specific locations. This dataset is invaluable for marketing, urban development, tourism, and public policy analysis.

Top 5 Key Data Fields

• Geographic Location – Identifies cities, regions, and neighborhoods where sentiment data is collected, allowing for granular analysis.
• Sentiment Score – Measures public sentiment on a scale from negative to positive, helping businesses and policymakers gauge public opinion.
• Source of Sentiment – Categorizes data sources such as social media, reviews, news articles, and surveys.
• Time of Sentiment Capture – Records the timestamp of sentiment data collection to track trends over time.
• Keywords and Topics – Extracts key phrases and themes associated with sentiment, offering deeper contextual understanding.

Top 5 Location Sentiment Trends in New Zealand

• Tourism Sentiment Fluctuations – Changes in traveler perceptions of major attractions like Queenstown, Rotorua, and Auckland based on seasonal factors and global travel trends.
• Urban vs. Rural Sentiment Differences – Analysis of how sentiment varies between metropolitan areas and rural regions regarding infrastructure, services, and lifestyle.
• Real Estate and Housing Affordability – Sentiment trends related to property prices, housing availability, and rental market conditions across key cities.
• Environmental and Sustainability Perceptions – Public sentiment on sustainability efforts, climate initiatives, and conservation areas like Fiordland National Park.
• Retail and Hospitality Industry Sentiment – Consumer feedback on shopping experiences, restaurants, and local businesses in different locations.

Top 5 Applications of Location Sentiment Data in New Zealand

• Tourism and Hospitality Management – Businesses can tailor marketing strategies based on visitor sentiment and feedback.
• Urban Planning and Development – City officials use sentiment insights to improve infrastructure and public services.
• Retail and Brand Strategy – Companies adjust product offerings and customer engagement based on location-specific sentiment analysis.
• Environmental Policy and Conservation – Government agencies track sentiment on sustainability projects and climate change actions.
• Crisis Management and Public Safety – Authorities monitor real-time sentiment to respond to emergencies and public concerns effectively.

Accessing Techsalerator’s Location Sentiment Data

To obtain Techsalerator’s Location Sentiment Data for New Zealand, contact info@techsalerator.com with your specific requirements. Techsalerator provides customized datasets with quick delivery options. Ongoing access can also be arranged based on user needs.

Included Data Fields

• Geographic Location
• Sentiment Score
• Source of Sentiment
• Time of Sentiment Capture
• Keywords and Topics
• Industry-Specific Sentiment Trends
• Consumer Behavior Analysis
• Social Media and Review-Based Sentiment
• Real Estate and Housing Sentiment
• Contact Information

For in-depth sentiment insights across New Zealand, Techsalerator’s dataset is an essential resource for businesses, policymakers, and analysts.

Techsalerator's Job Openings Data for New Zealand: A Comprehensive Resource for Employment Insights

Techsalerator's Job Openings Data for New Zealand is an essential resource for businesses, job seekers, and labor market analysts. This dataset provides a detailed overview of job openings across various industries in New Zealand, consolidating job-related information from multiple sources, such as company websites, job boards, and recruitment agencies.

Key Data Fields

• Job Posting Date: Tracks the date when a job is listed, allowing job seekers and employers to stay up-to-date with the latest job openings and employment trends.
• Job Title: Specifies the advertised position, helping users categorize and filter opportunities based on industry roles and career paths.
• Company Name: Lists the hiring company, assisting job seekers in targeting specific employers and enabling businesses to monitor competitors and market dynamics.
• Job Location: Provides the geographic location of the job within New Zealand, which helps job seekers find opportunities in specific regions, and employers assess regional talent availability and market conditions.
• Job Description: Details the responsibilities, qualifications, and expectations for the role, allowing candidates to assess whether they meet the requirements and recruiters to communicate clearly.

Top 5 Job Categories in New Zealand

1. Information Technology (IT): There is significant demand for software engineers, cybersecurity experts, and data analysts as New Zealand's tech sector continues to grow.
2. Healthcare: Jobs in nursing, general practice, medical technology, and healthcare administration are in high demand as the country addresses its healthcare needs.
3. Construction and Engineering: The industry seeks civil engineers, project managers, and construction workers due to ongoing infrastructure projects and urban development.
4. Education: Teachers, administrators, and educational consultants are needed as New Zealand focuses on improving its educational services.
5. Tourism and Hospitality: With a vibrant tourism sector, there is a steady demand for hotel managers, tour guides, chefs, and customer service professionals.

Top 5 Employers in New Zealand

1. Fonterra: The dairy cooperative regularly hires for roles in food production, logistics, IT, and research and development.
2. Air New Zealand: The national airline offers positions in aviation, customer service, engineering, and business management.
3. Auckland District Health Board: A major healthcare employer with opportunities for medical professionals, support staff, and healthcare administrators.
4. ANZ New Zealand: One of the country's largest banks, providing roles in finance, IT, marketing, and customer service.
5. University of Auckland: New Zealand’s leading university, frequently hiring for academic, administrative, and research positions.

Accessing Techsalerator’s Data

To access Techsalerator’s Job Openings Data for New Zealand, please contact info@techsalerator.com with your specific requirements. We offer customized quotes based on the data fields and records you need, with delivery available within 24 hours. Ongoing access options are also available for continued insights.

Included Data Fields

• Job Posting Date
• Job Title
• Company Name
• Job Location
• Job Description
• Application Deadline
• Job Type (Full-time, Part-time, Contract)
• Salary Range
• Required Qualifications
• Contact Information

Techsalerator’s dataset is an invaluable tool for those looking to stay informed about job openings and employment trends in New Zealand, enabling businesses, job seekers, and analysts to make data-driven decisions.

Stock Price Time Series for Tourism Holdings Rentals Ltd. Tourism Holdings Limited operates as a tourism company worldwide. It operates through New Zealand Rentals & Sales; Action Manufacturing; Tourism; Australia Rentals, Sales & Manufacturing; North America Rentals & Sales; United Kingdom & Ireland Rentals & Sales; and Corporate segments. The company is involved in manufacturing, rental, and sale of motorhomes; manufacturing and sale of other speciality vehicles; sale of ex-rental fleet and new and used RVs direct to the public and through a dealer network; and provision of Kiwi Experience bus tours and Discover Waitomo Caves Group experiences. It also rents 4WD vehicles; and manufacture of recreational vehicles (RVs). The company offers its rental vehicles under the Maui, CanaDream, Road Bear, Just go, Apollo, El Monte RV, Britz, Bunk Camper, Mighty, Cheapa Campa, and Hippie brands; vehicle bodies and trailers under the Action, Freighter, Transcold, and Fairfax brands; and sells new and used motorhomes, campervans, and caravans under the RV Super Centre, SydneyRV, Georgeday, Kratzmann, CamperAgent brands. In addition, it operates app-based travel platform Camper Mate, a Travel technology to explore and book adventures throughout Australia and New Zealand; Kiwi Experience, a hop-on hop-off and small-group bus tours; and Discover Waitomo to explore natural wonders, culture, and adventure experiences of the Waitomo region. The company was formerly known as The Helicopter Line and changed its name to Tourism Holdings Limited in 1996. Tourism Holdings Limited was incorporated in 1984 and is headquartered in Auckland, New Zealand.

Calculated and presented using the conservative/less conservative approaches, respectively.Probability of being in a particular behavioural state (πj), number of 3min time units (E(Tj)) and amount of time (min) required to return to initial behavioural states during control scenarios (presence of the research vessel only) and during interaction scenarios (when in the presence of other vessels).

The 17th of 20 years of International Social Survey Programme (ISSP) surveys within New Zealand by Professor Philip Gendall, Department of Marketing, Massey University.A verbose rundown on topics covered follows.Leisure time: activities and satisfaction. The meaning of time and leisure, and its relation to work and other spheres of life. Sport/game activities and subjective functions of sport and games. Sociological aspects of sports. Social and political participation. Social determinants and consequences of leisure.Frequency of leisure activities in respondent’s free time; main purpose of free time activities; enjoyment from reading books, getting together with friends, taking part in physical activities, and watching TV or DVDs; motivation for leisure time activities: establishing useful contacts, relaxing, and developing skills in free time.Frequency of feeling bored, feeling rushed, and thinking about work during free time; preference for sharing time with other people or being alone; wishes for: more time in a paid job, more time doing household work, more time with family, and more time in leisure activities; number of nights the respondent stayed away from home for holiday or social visits; days of leave from work; most frequent exercises or physical activity.Preferred type of games rather than sports; most important reasons for taking part in sports or games: physical or mental health, meeting other people, competing against others or physical attractiveness; most frequently watched sport on TV; feeling of national pride when respondent’s country does well at international sports or games competition; attitudes towards sport (scale); social and political participation; trust in people; interest in politics; reasons for staying away from doing free time activities: lack of facilities nearby, lack of money and time, personal health or responsibility to take care of someone; perception of happiness; estimation of personal health. Whether the day before questioning was a working-day or a holiday; time of getting up and going to sleep on the day before; height and weight of respondent; wishes to gain or to lose weight; conception of an ideal shape of a man and a women on the bases of presented pictures.Demography: Sex; age; marital status; steady life partner; years of schooling; highest education level; country specific education and degree; current employment status (respondent and partner); hours worked weekly; occupation (ISCO 1988) (respondent and partner); supervising function at work; working for private or public sector or self-employed (respondent and partner); if self-employed: number of employees; trade union membership; earnings of respondent (country specific); family income (country specific); size of household; household composition; party affiliation (left-right); country specific party affiliation; participation in last election; religious denomination; religious main groups; attendance of religious services; self-placement on a top-bottom scale; region (country specific); size of community (country specific); type of community: urban-rural area; country of origin or ethnic group affiliation. Additionally coded: administrative mode of data-collection; weighting factor; case substitution.